TRAINING SYLLABUS:

Module 1: Introduction to Python Programming

• Overview of Python Programming and Its Applications
• Setting Up the Python Development Environment
• Introduction to Python Syntax, Variables, and Data Types
• Writing and Running Your First Python Program

Module 2: Python Basics

• Understanding Python Structure: Statements, Expressions, and Functions
• Working with Python Data Structures: Lists, Tuples, Dictionaries
• Control Flow: Conditionals, Loops, and Iteration
• Working with Functions and Modules in Python

Module 3: Object-Oriented Programming with Python

• Introduction to Object-Oriented Programming (OOP) in Python
• Understanding Classes, Objects, and Methods
• Working with Inheritance, Polymorphism, and Encapsulation
• Creating and Using Python Classes for Real-World Problems

Module 4: Advanced Python Topics

• Understanding List Comprehensions and Lambda Functions
• Working with Python Decorators and Generators
• File I/O Operations in Python
• Error Handling and Exception Management

Module 5: Python for Data Science

• Introduction to NumPy and Pandas Libraries
• Data Cleaning and Preprocessing with Python
• Exploratory Data Analysis (EDA) with Matplotlib and Seaborn
• Working with Datasets and Statistical Functions in Python

Module 6: Python for Web Development

• Introduction to Web Development with Python
• Working with Flask and Django for Web Applications
• Creating REST APIs using Flask/Django
• Handling Databases with SQLAlchemy or Django ORM

Module 7: Python for Automation

• Automating Tasks with Python Scripts
• Using Python for Web Scraping with BeautifulSoup and Scrapy
• Automating Excel Reports and File Manipulation with openpyxl
• Sending Emails and Notifications with Python

Module 8: Python Testing and Debugging

• Unit Testing with unittest and pytest
• Debugging Python Code with PDB and VS Code
• Working with Logging for Efficient Debugging
• Optimizing Performance in Python Applications

Module 9: Python Version Control and Collaboration

• Using Git for Version Control in Python Projects
• Collaborating on Python Projects with GitHub
• Managing Python Dependencies with pip and virtualenv
• Using Continuous Integration (CI) in Python Projects

Module 10: Deploying Python Applications

• Deploying Python Web Apps to Cloud Platforms (Heroku, AWS)
• Creating Docker Containers for Python Applications
• Automating Deployment with CI/CD Tools
• Securing and Maintaining Deployed Python Applications

Training Highlights:

• 100% Practical Training with Real-Time Projects
• Guaranteed In-House Placement Assistance
• Training by Experienced Mentors and Industry Experts
• Daily Assignments, Notes, and Progress Tracking
• Collaborative Team Learning Environment
• Exposure to Latest Tools and Technologies in Full-Stack Development